Run
21372

Run 21372

Task 2076 (Supervised Classification) kropt Uploaded 19-06-2014 by Joaquin Vanschoren
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Flow

weka.MultiBoostAB_SMO_PolyKernel(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_SMO_PolyKernel(1)_C3
weka.MultiBoostAB_SMO_PolyKernel(1)_I40
weka.MultiBoostAB_SMO_PolyKernel(1)_P100
weka.MultiBoostAB_SMO_PolyKernel(1)_S1
weka.MultiBoostAB_SMO_PolyKernel(1)_Wweka.classifiers.functions.SMO
weka.SMO_PolyKernel(5)_C1.0
weka.SMO_PolyKernel(5)_L0.001
weka.SMO_PolyKernel(5)_N0
weka.SMO_PolyKernel(5)_P1.0E-12
weka.SMO_PolyKernel(5)_V-1
weka.SMO_PolyKernel(5)_W1

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.8433
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.4159
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3675
Cross-validation details (10-fold Crossvalidation)
KB relative information score
3174.7906
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0998
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0995
Cross-validation details (10-fold Crossvalidation)
Number of instances
28056
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.4191
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.4375
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.5053
Cross-validation details (10-fold Crossvalidation)
Recall
0.4375
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.003
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2231
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2201
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9868
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
918.6455[549.3670977059974981.8879140942839468.269442668285883.83012134831091709.8726748745657]